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Fairness in Risky Environments: Theory and Evidence
Academy of Sciences of the Czech Republic, Economics Institute (EI), P.O. Box 882, Politických vězňů. 7, 111 21 Prague, Czech Republic
Australian School of Business, University of New South Wales, Sydney NSW 2052, Australia
Department of Institutional Economics, University of Economics, Prague, Czech Republic
* Authors to whom correspondence should be addressed.
Received: 4 February 2013; Accepted: 13 May 2013 / Published: 30 May 2013
Abstract: The relationship between risk in the environment, risk aversion and inequality aversion is not well understood. Theories of fairness have typically assumed that pie sizes are known ex-ante. Pie sizes are, however, rarely known ex ante. Using two simple allocation problems—the Dictator and Ultimatum game—we explore whether, and how exactly, unknown pie sizes with varying degrees of risk (“endowment risk”) influence individual behavior. We derive theoretical predictions for these games using utility functions that capture additively separable constant relative risk aversion and inequity aversion. We experimentally test the theoretical predictions using two subject pools: students of Czech Technical University and employees of Prague City Hall. We find that: (1) Those who are more risk-averse are also more inequality-averse in the Dictator game (and also in the Ultimatum game but there not statistically significantly so) in that they give more; (2) Using the within-subject feature of our design, and in line with our theoretical prediction, varying risk does not influence behavior in the Dictator game, but does so in the Ultimatum game (contradicting our theoretical prediction for that game); (3) Using the within-subject feature of our design, subjects tend to make inconsistent decisions across games; this is true on the level of individuals as well as in the aggregate. This latter finding contradicts the evidence in Blanco et al. (2011); (4) There are no subject-pool differences once we control for the elicited risk attitude and demographic variables that we collect.
Keywords: fairness; risk aversion; risk; subject-pool effects; economics experiments
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Cite This Article
MDPI and ACS Style
Van Koten, S.; Ortmann, A.; Babicky, V. Fairness in Risky Environments: Theory and Evidence. Games 2013, 4, 208-242.
Van Koten S, Ortmann A, Babicky V. Fairness in Risky Environments: Theory and Evidence. Games. 2013; 4(2):208-242.
Van Koten, Silvester; Ortmann, Andreas; Babicky, Vitezslav. 2013. "Fairness in Risky Environments: Theory and Evidence." Games 4, no. 2: 208-242.